295 related articles for article (PubMed ID: 16617275)
1. Evaluating short-term drug effects using a physician-specific prescribing preference as an instrumental variable.
Brookhart MA; Wang PS; Solomon DH; Schneeweiss S
Epidemiology; 2006 May; 17(3):268-75. PubMed ID: 16617275
[TBL] [Abstract][Full Text] [Related]
2. The proportion of all previous patients was a potential instrument for patients' actual prescriptions of nonsteroidal anti-inflammatory drugs.
Kollhorst B; Abrahamowicz M; Pigeot I
J Clin Epidemiol; 2016 Jan; 69():96-106. PubMed ID: 26341022
[TBL] [Abstract][Full Text] [Related]
3. Instantaneous preference was a stronger instrumental variable than 3- and 6-month prescribing preference for NSAIDs.
Hennessy S; Leonard CE; Palumbo CM; Shi X; Ten Have TR
J Clin Epidemiol; 2008 Dec; 61(12):1285-1288. PubMed ID: 18495427
[TBL] [Abstract][Full Text] [Related]
4. COX-2 selective nonsteroidal anti-inflammatory drugs and risk of gastrointestinal tract complications and myocardial infarction: an instrumental variable analysis.
Davies NM; Smith GD; Windmeijer F; Martin RM
Epidemiology; 2013 May; 24(3):352-62. PubMed ID: 23532054
[TBL] [Abstract][Full Text] [Related]
5. Evaluating the validity of an instrumental variable study of neuroleptics: can between-physician differences in prescribing patterns be used to estimate treatment effects?
Brookhart MA; Rassen JA; Wang PS; Dormuth C; Mogun H; Schneeweiss S
Med Care; 2007 Oct; 45(10 Supl 2):S116-22. PubMed ID: 17909369
[TBL] [Abstract][Full Text] [Related]
6. The missing cause approach to unmeasured confounding in pharmacoepidemiology.
Abrahamowicz M; Bjerre LM; Beauchamp ME; LeLorier J; Burne R
Stat Med; 2016 Mar; 35(7):1001-16. PubMed ID: 26932124
[TBL] [Abstract][Full Text] [Related]
7. Instrumental variable analysis of secondary pharmacoepidemiologic data.
Brookhart MA; Wang PS; Solomon DH; Schneeweiss S
Epidemiology; 2006 Jul; 17(4):373-4. PubMed ID: 16810095
[No Abstract] [Full Text] [Related]
8. Instrumental variable analysis in the context of dichotomous outcome and exposure with a numerical experiment in pharmacoepidemiology.
Koladjo BF; Escolano S; Tubert-Bitter P
BMC Med Res Methodol; 2018 Jun; 18(1):61. PubMed ID: 29929467
[TBL] [Abstract][Full Text] [Related]
9. Reducing the variance of the prescribing preference-based instrumental variable estimates of the treatment effect.
Abrahamowicz M; Beauchamp ME; Ionescu-Ittu R; Delaney JA; Pilote L
Am J Epidemiol; 2011 Aug; 174(4):494-502. PubMed ID: 21765169
[TBL] [Abstract][Full Text] [Related]
10. Evaluating different physician's prescribing preference based instrumental variables in two primary care databases: a study of inhaled long-acting beta2-agonist use and the risk of myocardial infarction.
Uddin MJ; Groenwold RH; de Boer A; Afonso AS; Primatesta P; Becker C; Belitser SV; Hoes AW; Roes KC; Klungel OH
Pharmacoepidemiol Drug Saf; 2016 Mar; 25 Suppl 1():132-41. PubMed ID: 27038359
[TBL] [Abstract][Full Text] [Related]
11. Bias-variance trade-off in pharmacoepidemiological studies using physician-preference-based instrumental variables: a simulation study.
Ionescu-Ittu R; Delaney JA; Abrahamowicz M
Pharmacoepidemiol Drug Saf; 2009 Jul; 18(7):562-71. PubMed ID: 19437424
[TBL] [Abstract][Full Text] [Related]
12. Preference-based instrumental variable methods for the estimation of treatment effects: assessing validity and interpreting results.
Brookhart MA; Schneeweiss S
Int J Biostat; 2007; 3(1):Article 14. PubMed ID: 19655038
[TBL] [Abstract][Full Text] [Related]
13. Power calculator for instrumental variable analysis in pharmacoepidemiology.
Walker VM; Davies NM; Windmeijer F; Burgess S; Martin RM
Int J Epidemiol; 2017 Oct; 46(5):1627-1632. PubMed ID: 28575313
[TBL] [Abstract][Full Text] [Related]
14. How important is the role of the physician in the correct use of a drug? An observational cohort study in general practice.
Bradbury F
Int J Clin Pract Suppl; 2004 Oct; (144):27-32. PubMed ID: 16035400
[TBL] [Abstract][Full Text] [Related]
15. A theoretical exploration of therapeutic monomania as a physician-based instrumental variable.
Potter BJ; Dormuth C; Le Lorier J
Pharmacoepidemiol Drug Saf; 2020 Jan; 29 Suppl 1(Suppl 1):45-52. PubMed ID: 31094048
[TBL] [Abstract][Full Text] [Related]
16. Antipsychotics and the risk of death in the elderly: an instrumental variable analysis using two preference based instruments.
Pratt N; Roughead EE; Ryan P; Salter A
Pharmacoepidemiol Drug Saf; 2010 Jul; 19(7):699-707. PubMed ID: 20583208
[TBL] [Abstract][Full Text] [Related]
17. A Medicare database review found that physician preferences increasingly outweighed patient characteristics as determinants of first-time prescriptions for COX-2 inhibitors.
Schneeweiss S; Glynn RJ; Avorn J; Solomon DH
J Clin Epidemiol; 2005 Jan; 58(1):98-102. PubMed ID: 15649677
[TBL] [Abstract][Full Text] [Related]
18. Determinants of selective cyclooxygenase-2 inhibitor prescribing: are patient or physician characteristics more important?
Solomon DH; Schneeweiss S; Glynn RJ; Levin R; Avorn J
Am J Med; 2003 Dec; 115(9):715-20. PubMed ID: 14693324
[TBL] [Abstract][Full Text] [Related]
19. Channelling of COX-2 inhibitors to patients at higher gastrointestinal risk but not at lower cardiovascular risk: the Cox2 inhibitors and tNSAIDs description of users (CADEUS) study.
Depont F; Fourrier A; Merlière Y; Droz C; Amouretti M; Bégaud B; Bénichou J; Moride Y; Velo GP; Sturkenboom M; Blin P; Moore N;
Pharmacoepidemiol Drug Saf; 2007 Aug; 16(8):891-900. PubMed ID: 17351983
[TBL] [Abstract][Full Text] [Related]
20. Physician's Prescribing Preference as an Instrumental Variable: Exploring Assumptions Using Survey Data.
Boef AG; le Cessie S; Dekkers OM; Frey P; Kearney PM; Kerse N; Mallen CD; McCarthy VJ; Mooijaart SP; Muth C; Rodondi N; Rosemann T; Russell A; Schers H; Virgini V; de Waal MW; Warner A; Gussekloo J; den Elzen WP
Epidemiology; 2016 Mar; 27(2):276-83. PubMed ID: 26605813
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
